EMSO-LO (European Multidisciplinary See floor Observatory and water column, Western Ligurian Site) is a second generation permanent submarine observatory deployed offshore of Toulon, France. This submarine network is part of the LSPM (Laboratoire Sous-Marin Provence Méditerannée, https://www.km3net.org/) which has a modular topology designed to connect up to 120 neutrino detection units. The Earth and Sea Science (ESS) instrumentation connected to KM3NeT is based on two complementary components: an Instrumented Interface Module (MII), an autonomous mooring line (ALBATROSS) and a Scientific Junction Box (BJS, developed by Ifremer). On the ocean floor, instruments and plateforms can be connected to the BJS whose role is to supply energy and internet connection to the instruments of the site. Among the most relevant novelties, BathyBot is an underwater robot that joined the observatory site for several years, and deployed from a structure called BathyDock. BathyBot - A benthic robot to see the invisible in the depths of the Mediterranean Sea is a remotely-operated, cabled exploration robot. It is dedicated to long-term monitoring of deep-sea environmental variables (oxygen, temperature, salinity, pressure, current - the fluorimeter data flux is available through the aquadopp data flux) as well as biology, thanks to two different cameras (images available through a citizen science project http://ecotaxa.obs-vlfr.fr/). In particular, BathyBot will enable to see the bioluminescence emitted by marine organisms and better understand its ecological role. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

This dataset gathers, total abundance, abundance per size class, total biomass and biomass per size class of two vulnerable fish species, the dusky grouper, Epinephelus marginatus (Lowe, 1834), and the brown meagre, Sciaena umbra Linaeus, 1758, recorded inside and outside the Marine Natural Reserve of Scandola (Corsica, NW Mediterranean) in 2012 and 2018. Fish were recorded by underwater visual censuses performed on belt transects (50 x 15 m) run parallel to the coast between 1 and 40 m depth at 13 sites according to three levels of protection status (integral reserve, buffer zone and unprotected zone). A total of 532 transects were performed in 2012 and 526 in 2018. Image Reference: https://www.seanoe.org/data/00754/86639/illustrations/illustration-134.gif. Corsica 2012-2018-Map Scandola Marine natural Reserve Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

This dataset  reports ocenanic CO2 parameters measured on discret samples collected at the SOLEMIO station (Bay of Marseille - North Western Mediterranean Sea - aprox. 65 m depth). The SOLEMIO station is part of the French national network of coastal observation SOMLIT (Service d’Observation en Milieu LITtoral – http://somlit.epoc.u-bordeaux1.fr/fr/). Measurements of carbonate chemistry parameters are not routinely measured within the framework of the SOMLIT network. This datased reports fortnightly measurements collected during three years (between june 2016 and june 2018) at three different depth in the water column (Surface, intermediate and bottom). This dataset is constituted of measurements of total alkalinity, total inorganic carbon and pH (on the total scale). Dissolved oxygen concentrations, inorganic nutrients, temperature and salinity (SOMLIT core parameters) are also reported. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

EMSO is a European network of seabed and fixed-point water column observatories whose scientific objective is to acquire long time series in the seas around Europe for the study of environmental processes related to interactions between geosphere, biosphere and hydrosphere. MAREGAMI project (MARine Earthquake Gap Assessment and Monitoring for Istanbul) is a bilateral Turkish-French collaborative project coordinated by IFREMER and Istanbul Technical University and funded by ANR and TÜBITAK. The goal of MAREGAMI was the development of new methods and monitoring strategies to assess earthquake and tsunami risks related to offshore faults, with tasks: (1) Marine geodesy: acquisition and processing of geodetic submarine data, (2) Hydrodynamics and specific depositional processes: water column data acquisition and hydrodynamic modeling, (3) Improving earthquake relocation with ocean bottom instruments, (4) Designing an optimal and sustainable network of submarine sensors. Data distributed here were acquired for MAREGAMI Task 2.  These consist of time series acquired during 4 deployments on the sealfoor perfomed between January 2018 and November 2020 of an instrumented frame holding a RBR bottom pressure recorder (BPR) and a Seaguard recording current meter (RCM) equipped with additional sensors (conductivity, oxygen, tide pressure end temperature). The acquisition and distribution of marine data time series in the Sea of Marmara is funded by EMSO-France Research Infrastructure, EMSO-Link, and MAREGAMI projet. DT-INSU provided operational support and instrumentation. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.